Digi has launched the MCP model context protocol server that lets large language models (LLMs) such as Claude securely interact directly with live enterprise IoT device fleets and wireless WAN infrastructure.

This moves LLMs beyond copilots and dashboards into real operational environments.

Through Digi Remote Manager (DRM) and Genesis, enterprises can now use natural language to query thousands of remote devices, automate troubleshooting, generate configuration insights and execute workflows across distributed infrastructure, all with enterprise-grade governance controls.

This marks a shift from AI analysing infrastructure data to AI actively participating in infrastructure management. For distributed enterprises managing massive edge footprints, that’s a significant step towards AI-driven operations at scale.

Users can securely integrate LLM products directly with DRM and Genesis, transforming how organisations monitor, manage and optimise their connected infrastructure and wireless WAN deployments (WWAN) at scale.

The MCP server allows DRM and Genesis users to leverage natural language interfaces to query device fleets, automate workflows, generate configuration insights and streamline troubleshooting. By bridging enterprise AI tools with Digi’s secure device management platform, users can accelerate operational efficiency, reduce complexity and empower teams with intelligent, context aware insights across their connectivity deployments. It is designed with enterprise grade security and governance controls to ensure data protection and responsible AI integration.

“Digi has always focused on making connectivity and device management more intelligent, scalable and secure,” said Ron Konezny, Digi (www.digi.com) CEO. “With the launch of our MCP server for Digi Remote Manager and Genesis, we are giving customers a powerful new way to interact with their connected environments using the AI tools they already trust, unlocking faster decisions, streamlined operations and new levels of automation across the enterprise.”